Search Results for "deploy" - Page 16
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Showing 1136 open source projects for "deploy"
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Edgee
AI gateway with token compression for Claude Code, Codex, and more
Edgee is an edge-native execution platform designed to run AI-driven logic and data processing directly at the network edge, reducing latency and improving responsiveness for modern applications. It enables developers to deploy functions and workflows closer to users, allowing real-time processing without relying heavily on centralized cloud infrastructure. The platform is built to support event-driven architectures, where actions are triggered by incoming requests, user behavior, or external signals. It integrates AI capabilities into edge environments, making it possible to perform inference, personalization, and decision-making at the point of interaction. ... -
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Sample GenLayer project
Includes the boilerplate code for a GenLayer use case implementation
GenLayer Project Boilerplate is an open-source template designed to accelerate the development of decentralized applications on the GenLayer protocol by providing a fully integrated environment that combines intelligent contract logic with a modern frontend interface. It includes a complete working example of a prediction market application, demonstrating how developers can structure, deploy, and test decentralized logic in a real-world scenario. The project integrates both backend contract development written in Python and frontend components built with modern frameworks, enabling a seamless full-stack development workflow. It emphasizes best practices such as environment configuration, modular architecture, and comprehensive testing, helping developers avoid common pitfalls when building blockchain-based applications. ... -
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Instill Core
Instill Core is a full-stack AI infrastructure tool for data
Instill Core is an open-source, full-stack AI infrastructure platform designed to orchestrate data pipelines, machine learning models, and unstructured data processing into a unified, production-ready system. It provides an end-to-end solution that enables developers to build, deploy, and manage AI-powered applications without needing to manually stitch together multiple tools across the data and model lifecycle. The platform focuses heavily on handling unstructured data such as documents, images, audio, and video, transforming them into AI-ready formats through integrated ETL pipelines and processing workflows. ... -
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ZML
Any model. Any hardware. Zero compromise
...The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across different machines or locations. One of its key strengths is cross-compilation, enabling developers to build once and deploy across various platforms without rewriting code. zml provides example implementations of models and workflows, demonstrating how to run inference tasks such as image classification or large language models. It is designed to handle complex distributed setups, including scenarios where model components are split across devices connected via networks. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Kiln
Open source platform for managing, testing, and deploying AI apps
Kiln is an open source platform designed to help developers build, evaluate, and deploy AI-powered applications with greater structure and reliability. It provides a unified environment for managing prompts, datasets, and evaluation workflows, allowing teams to iterate on AI behavior in a controlled and measurable way. Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. -
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Terraform Examples and Modules for GC
End-to-end modular samples and landing zones toolkit for Terraform
Terraform Examples and Modules for GC is a comprehensive infrastructure-as-code toolkit built on Terraform that enables organizations to design, deploy, and manage enterprise-grade Google Cloud environments using modular and reusable components. It provides a collection of end-to-end blueprints and composable modules that allow teams to implement standardized cloud architectures such as landing zones, networking configurations, and security frameworks. The project is designed to accelerate cloud adoption by offering opinionated yet flexible patterns aligned with Google Cloud best practices, helping organizations bootstrap their environments quickly while maintaining governance and scalability. ... -
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Svelte Commerce
The open-source storefront for any ecommerce
...Built with a modern JavaScript stack, it emphasizes performance and responsiveness by leveraging Svelte’s reactive architecture and server-side rendering capabilities. Developers can deploy the project as a standalone storefront or customize it extensively to match their own eCommerce infrastructure. -
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Cog
Package and deploy machine learning models using Docker containers
Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best... -
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browserable
Open source and self-hostable browser automation library for AI agents
...Built primarily in JavaScript, the framework offers both a developer-friendly SDK and a REST API that allow integration with AI applications and automation pipelines. It is designed to be self-hostable, which means developers can deploy and run it on their own infrastructure without relying on third-party services. The platform enables the creation of browser-based agents capable of performing complex online workflows such as data collection, research tasks, and automated interactions with web platforms. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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AI Engineering Transition Path
Research papers and blogs to transition to AI Engineering
...The project organizes resources that cover fundamental topics required to understand modern AI systems, including transformers, vector embeddings, tokenization, infrastructure design, and mixture-of-experts architectures. Instead of presenting isolated tutorials, the repository provides a structured pathway that guides engineers through the technical knowledge needed to build and deploy large language model systems. The materials include curated research papers, blog posts, and code examples that explain both theoretical foundations and practical implementation strategies. By consolidating these resources into a single repository, the project helps developers navigate the rapidly expanding AI ecosystem without needing to search through scattered materials. -
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LangBot
Production-grade platform for building agentic IM bots
LangBot is an open source platform designed to build and deploy AI-powered chatbots across multiple instant messaging ecosystems. The system allows developers to integrate large language models into messaging platforms so that bots can perform tasks, answer questions, and automate workflows directly within everyday communication tools. It supports numerous messaging services including Discord, Slack, Telegram, WeChat, and other enterprise communication systems, making it a flexible solution for both personal projects and organizational deployments. ... -
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom agents, environments, policy networks, and reward structures while leveraging built-in dataset utilities, logging, and checkpointing for reproducible experiments. ... -
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DeployStack
Centralized credential vault, governance, and token optimization
DeployStack is an open-source framework that helps developers and teams define and deploy production infrastructure stacks using modular, reusable templates, often with IaC (infrastructure as code) principles. It provides a structured way to compose resources such as cloud networking, compute, and managed services into coherent deployment blueprints that can be versioned and reused across projects. By abstracting common deployment patterns and capturing them as templates, Deploystack reduces duplication of effort that typically occurs when setting up stacks for different applications or environments. ... -
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Self Hosting Guide
Learn all about locally hosting (on premises & private web servers)
The Self Hosting Guide repository is a comprehensive, community-curated handbook for individuals and teams who want to deploy and manage their own self-hosted services — from applications and infrastructure to networking and security. It covers conceptual guidance on why self-hosting can be advantageous (e.g., privacy, control, cost savings) as well as detailed, actionable instructions on setting up popular services such as web servers, media servers, home automation stacks, VPNs, backups, and monitoring tools. ... -
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rustdesk-server-demo
A working demo of RustDesk server implementation
rustdesk-server-demo is a companion repository that demonstrates how to deploy the RustDesk backend quickly, often via containerized or scripted setups. It is intended as a practical starting point for testing and small-scale pilots before moving to a hardened production configuration. The demo showcases the interplay between the rendezvous and relay components so users can validate connectivity paths end-to-end. -
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Apache Bigtop
Bigtop is an Apache Foundation project for Infrastructure Engineers
...It provides a consistent framework for testing, packaging, and deploying Hadoop distributions, including tools like HDFS, YARN, Spark, Hive, HBase, and more. By maintaining cross-platform builds (RPMs, DEBs, Docker images, and Kubernetes support), Bigtop makes it easier for organizations to deploy big data stacks in different environments. It also includes a set of integration tests and smoke tests to ensure compatibility and stability between ecosystem components. Developers and operators can use Bigtop to assemble customized Hadoop distributions tailored to their infrastructure and workloads. Its focus on reproducibility and packaging reduces friction in deploying large-scale data processing systems and ensures that different components of the Hadoop ecosystem work well together. -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This... -
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SyncLite
Build Anything Sync Anywhere
SyncLite is an open-source, low-code, comprehensive relational data consolidation platform enabling developers to rapidly build data-intensive applications for edge, desktop and mobile environments. SyncLite enables real-time, transactional data replication and consolidation from various sources including edge/desktop applications using popular embedded databases (SQLite, DuckDB, Apache Derby, H2, HyperSQL), data streaming applications, IoT message brokers, traditional database systems(ETL)... -
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Kubegres
Kubegres is a Kubernetes operator allowing to deploy clusters
Kubegres is a Kubernetes operator that allows to deployment one or many clusters of PostgreSQL pods with data replication and failover enabled out-of-the-box. It brings simplicity when using PostgreSQL considering how complex managing a stateful-set's life cycle and data replication could be with Kubernetes. Kubegres is fully integrated with Kubernetes' lifecycle as it runs as an operator written in Go. It is minimalist in terms of codebase compared to other open-source Postgres operators.... -
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faas-netes
Serverless Functions For Kubernetes
...The existing REST API, CLI, and UI are fully compatible. With OpenFaaS Standard/Enterprise, you have an optional operator mode so that you can manage functions with Kubectl and a CustomResource. You can deploy OpenFaaS to any Kubernetes service - whether managed or local, including to OpenShift. You will find specific instructions and additional links in the documentation. OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker and Kubernetes which has first-class support for metrics. Any process can be packaged as a function enabling you to consume a range of web events without repetitive boilerplate coding. -
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Spring Cloud Kubernetes
Kubernetes integration with Spring Cloud Discovery Client
Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app and Kubernetes itself. To learn more, you can get started by reading the Spring Boot reference documentation for deploying to Kubernetes and also working through the workshop material Spring and Kubernetes. -
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Http4s
A minimal, idiomatic Scala interface for HTTP
...I/O is managed through cats-effect. http4s is built on FS2, a streaming library that provides for processing and emitting large payloads in constant space and implementing websockets. http4s cross-builds for Scala.js and Scala Native. Share code and deploy to browsers, Node.js, native executable binaries, and the JVM. -
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Python Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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GraphQL Inspector
Validate schema, get schema change notifications, validate operations
...GraphQL Inspector offers a CLI that lets you analyze your GraphQL API but also client-side applications. Our codebase is publicly available on GitHub and it's easy to deploy and use your GitHub Application. Cloud service and self-hosted Performance Monitoring tool and Schema. GitHub offers in-code annotations and GraphQL Inspector, both App and Action enables you to use them. Nice and clean way to understand what have really changed and how it looked before and after. Stay up to date with changes in GraphQL Schema. ... -
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ko Easy Go Containers
Build and deploy Go applications on Kubernetes
ko is a simple, fast container image builder for Go applications. It's ideal for use cases where your image contains a single Go application without any/many dependencies on the OS base image (e.g., no cgo, no OS package dependencies). ko builds images by effectively executing go build on your local machine, and as such doesn't require docker to be installed. This can make it a good fit for lightweight CI/CD use cases. ko makes multi-platform builds easy, produces SBOMs by default, and...